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Field
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the menstrual cycle. In this project you will combine innovative smart technology and the latest AI-based food tracking apps to understand the impact of dietary behaviours on PMS and perimenopausal symptoms and
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by science and its rapid progress? Are you intrigued by ever-improving microscopes and the images they provide? Are you passionate about interdisciplinary research? Do you want to contribute your
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Hydro-Climate Extremes research group and work closely with Dr Xiaowen Dong (Department of Engineering Science), Dr Michel Wortmann, and project partners at ECMWF, Google Research and the Environment
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certain assumptions hold. However, whether these assumptions hold is difficult or impossible to verify in practice. The successful candidate will undertake a project in the area of statistics/data science
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the BioGeomorphology Laboratory flume, field datasets from restored and natural saltmarshes across the UK, and expertise from researchers in coastal ecology, hydrodynamic modelling, AI, and data science. Objectives
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physics-informed neural networks (PINNs). However, these approaches are still in their early stages of development and have yet to demonstrate their effectiveness for complex real engineering problems
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fundamental materials science and industrially relevant battery manufacturing and recycling technologies. The outcomes of this research will contribute to the development of sustainable battery value chains
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the low volumetric density of hydrogen, ammonia has emerged as a promising hydrogen carrier and zero-carbon fuel. The overall aim is to develop a novel direct ammonia fuel cell technology that can
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systems, sensing, wireless technologies and bio-inspired engineering. The successful applicant will focus primarily on the RF, high-frequency and experimental characterisation of externally fabricated
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vacuum, charged-particle optics, laser cooling, ion trapping, precision laser spectroscopy, quantum logic and atomic-clock technology. It sits at the interface between atomic physics, quantum technology